Where this is going.
jobmatcher is built on a bet: that describing work in a structured, shared language — on both sides of the market — beats keyword search forever. No dates below, only order. We ship what is honest to ship.
Now
Evidence-based profiles (WorkSpec)
No more rating yourself 1–5. Tell us what you have done — the same engine that reads job descriptions reads your story, drafts your profile, and you correct it. The deep read runs on our own hardware and your words are deleted after reading.
Skills-first matching, every role family
Roles are matched on what they need, not what they are called — finance, clinical, legal, sales, engineering, all of it. A title you have never held can still be a strong match.
Verified freshness
We track posting lineage ourselves instead of trusting "posted 2 days ago." Reposts are flagged as reposts, and recency scores come from when a role first actually appeared.
Next
Learned role shapes
Tens of thousands of classified job descriptions make it possible to learn what a role generally is — the skill set that defines "product marketing manager" across hundreds of companies, not one job ad. Every classification is fingerprinted for exactly this.
Resume advice that is not bullshit
Once role shapes are learned, advice stops being tips and starts being measurement: here is the market shape of the role you want, here is your profile against it, here is the real gap and what to lead with. Grounded in demand data, or we do not say it.
Job-market analytics
Salary percentiles by discipline, seniority, and geography; skill demand over time; repost and ghost-job rates by company. Aggregate market data only — never anything about our users.
The horizon
Publishing the language
JobSpec describes a job; WorkSpec describes a person, in the same vocabulary. We intend to publish both schemas openly — a shared, structured standard for describing work, on both sides of the market.
A profile you own
Your WorkSpec as a portable document: export it, take it anywhere, let any service that speaks the language read it. Your work history should not be locked inside anyone’s database — including ours.
Wider coverage
More applicant-tracking systems, more companies, more geographies — the matching engine does not change; the corpus underneath it grows.